Senior Data Scientist

Who We AreMassive Rocket is a high-growth Braze & Snowflake agency that has made significant strides in connecting digital marketing teams with product and engineering units. Founded just 5 years ago, we have experienced swift growth and are now at a crucial juncture, aspiring to reach $100M in revenue. Our focus is on delivering human experiences at scale, leveraging the latest in web, mobile, cloud, data, and AI technologies. We pride ourselves on innovation and the delivery of cutting-edge digital solutions.Every role at Massive Rocket is Entrepreneurial - Successful people at Massive Rocket will not only think about their role but understand the roles around them, their goals, and contribute to the success and growth of their team, customers, and partners.What We Offer Fast-moving environment – you will never stop learning and growing❤️ Supportive and positive work culture with an emphasis on our values International presence – work with team members in Europe, the US, and around the globe 100% remote forever ‍♂️ Career progression paths and opportunities for promotion/advancement Organised team events and outingsWhat we’re looking forWe are looking for a skilled Data Scientist (Snowflake) to design, train, and deploy predictive models directly in Snowflake to enhance CRM capabilities powered by Braze. You’ll collaborate with CRM consultants, developers, and marketing teams to deliver data-driven personalization and automation at scale.Collaborate with dynamic teams to enhance customer engagement strategies using leading platforms such as Braze. Your keen insight into industry trends and best practices will keep our customer data management at the cutting edge, driving innovation and excellence.Elevate your career with us and be a catalyst for transformative customer experiences.Responsibilities1) Predictive Personalization- Build and train machine learning models (e.g., churn prediction, segmentation, next-best-action) using Python.- Deploy models using Snowpark for Python within Snowflake.- Translate business goals into ML/AI models tailored for CRM automation in Braze.- Design model output structures for direct use in Braze via SQL/Segment integrations.- Monitor model performance and continuously improve based on Braze campaign results.- Collaborate with CRM consultants and analysts to define data requirements and outcomes.2) Intelligent Activation- Develop real-time scoring pipelines for CRM triggers (e.g., propensity to buy, lead scoring).- Engineer customer features from raw behavioral and transactional data.- Optimize Snowflake queries and data structures for model efficiency.- Work with Braze marketers to A/B test model-driven campaigns.- Automate retraining and deployment of models via CI/CD pipelines.- Ensure data compliance and model transparency for stakeholders.3) Customer Engagement Optimization through Braze- Work through the system restrictions in order to power Customer Engagement personalization and triggers in Braze.- Collaborate with marketing and product teams to optimize customer engagement strategies using platforms like Braze.- Leverage customer data to identify opportunities for personalized marketing and engagement.- Provide actionable insights to drive customer engagement and retention.- You will have appetite for learning about Data Warehouses (Snowflake specifically) and how they can be leveraged to strengthen the customer experience proposition through Braze.4) Collaboration and Support- Work closely with cross-functional teams, including data engineers, analysts, and marketing professionals, to align on data strategies and implementation.- Provide technical support and guidance to team members on best practices for data integration and event data management.- You will always be on the lookout for ways our clients can improve their current data stack and either be more efficient or have more impact on our work.- Align with the internal Snowflake and CRM team to align on the data plan and therefore power the Braze platform in the most efficient way possible.Required Skills and Qualifications:- Proficiency in Python for Data Science, strong experience with libraries like pandas, scikit-learn, numpy, and joblib.- Experience with Snowflake + Snowpark (Python API), ability to develop and deploy ML models natively within the Snowflake environment.- Advanced SQL Skills, comfortable writing optimized SQL for feature engineering, data extraction, and joining large datasets.- CRM & MarTech Understanding, knowledge of CRM concepts like segmentation, customer lifecycle, churn, and LTV modeling.- Model Deployment & Monitoring, experience with deploying models in production and monitoring performance (e.g., AUC, precision, recall).- Data Engineering Basics, understanding of ETL/ELT processes, feature stores, and scheduling tools like Airflow or dbt (optional).- Version Control & Reproducibility, git proficiency and experience with ML pipeline management tools (e.g., MLflow, DVC).- Familiarity with customer engagement platforms like Braze, Saleforce Marketing Cloud, HubSpot or similar tools.- Excellent problem-solving skills and attention to detail.- Strong communication skills with the ability to convey complex data concepts to non-technical stakeholders.- Ability to work independently and collaboratively in a fast-paced environment.- Experience working in an agency setting or working with external clientsPreferred Qualifications:- A/B Testing & Experimentation, Ability to design and evaluate experiments to measure model impact on CRM campaigns.- Familiarity with CDPs ( Hightouch)- Experience working in Agile (Kanban)During the process, please note the following requirements and preparations:- Massive Rocket has a Bring Your Own Device (BYOD) policy — you will be expected to use your own equipment for work.- A valid work visa is required — Massive Rocket does not provide sponsorship at this time.- You may be asked to provide proof of identification, such as a passport, ID card, or utility bill (gas, water, electricity).- Two references may be requested — please be prepared to share names, relationship to you, and contact details (email and mobile).- Contractors only: Proof of incorporation and valid insurance coverage is required.Note: Please ensure that your qualifications closely match the criteria outlined in the job description. Applications not meeting the specified criteria may not be processed or considered for this position.

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